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Record W4205894018 · doi:10.1287/deca.1110.0207

About the Authors

2011· article· en· W4205894018 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDecision Analysis · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMathematical economicsManagement scienceEpistemologyEconomicsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Ali E. Abbas (“ Decomposing the Cross Derivatives of a Multiattribute Utility Function into Risk Attitude and Value ”) received the M.S. degree in electrical engineering, the M.S. degree in engineering economic systems and operations research, the Ph.D. degree in management science and engineering, and the Ph.D. (minor) degree in electrical engineering, all from Stanford University, Stanford, California. He was a lecturer in the Department of Management Science and Engineering at Stanford. He previously worked for Schlumberger Oilfield Services, where he held several international positions in wireline logging, operations management, and international training. He was also involved with several consulting projects for mergers and acquisitions in California, and was a co-teacher of several executive seminars on decision analysis at Strategic Decisions Group, Menlo Park, California. He is currently an associate professor in the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana–Champaign, Champaign. His research interests include utility theory, decision making with incomplete information and preferences, dynamic programming, and information theory. Dr. Abbas is a member of INFORMS, a senior member of the IEEE, an associate editor for Decision Analysis and Operations Research, and an editor of the DA column in education for Decision Analysis Today. Address: Department of Industrial and Enterprise Systems Engineering, College of Engineering, University of Illinois at Urbana–Champaign, 117 Transportation Building, MC-238, 104 South Mathews Avenue, Urbana, IL 61801; e-mail: aliabbas@uiuc.edu . Vicki M. Bier (“ Deterring the Smuggling of Nuclear Weapons in Container Freight Through Detection and Retaliation ”) holds a joint appointment as professor in the Department of Industrial and Systems Engineering and the Department of Engineering Physics at the University of Wisconsin–Madison, where she chairs the Department of Industrial and Systems Engineering. She has directed the Center for Human Performance and Risk Analysis (formerly the Center for Human Performance in Complex Systems) since 1995. She has more than 20 years of experience in risk analysis for the nuclear power, chemical, petrochemical, and aerospace industries. Before returning to academia, she spent seven years as a consultant at Pickard, Lowe and Garrick, Inc. While there, her clients included the U.S. Nuclear Regulatory Commission, the U.S. Department of Energy, and a number of nuclear utilities, and she prepared testimony for Atomic Safety and Licensing Board hearings on the safety of the Indian Point nuclear power plants. Dr. Bier's current research focuses on applications of risk analysis and related methods to problems of security and critical infrastructure protection, under support from the Department of Homeland Security. She is also currently serving as a special term appointee for the Infrastructure Assurance Center at Argonne National Laboratory. Address: Department of Industrial and Systems Engineering, 1513 University Avenue, University of Wisconsin–Madison, Madison, WI 53706; e-mail: bier@engr.wisc.edu . Robert F. Bordley (“ Using Bayes' Rule to Update an Event's Probabilities Based on the Outcomes of Partially Similar Events ”) is an INFORMS Fellow and a winner of the best publication award from the Decision Analysis Society as well as five major application awards from General Motors. He is a General Motors Technical Fellow with experience in research, planning, quality, marketing, corporate strategy, and procurement. He is also an adjunct professor at the University of Michigan, Ann Arbor, and was formerly program director of Decision, Risk and Management Sciences at the National Science Foundation. Dr. Bordley has published 75 papers in decision analysis, marketing, and operations management. He has also served as chair of the American Statistical Association's Risk Analysis Section (which now has 1000 members), vice president of the Production and Operations Management Society, and a member of the INFORMS Board and the Decision Analysis Society Council. He earned a Ph.D. and M.S. in operations research and an M.B.A. in finance from the University of California, Berkeley. His primary interests have been in theoretical developments enabling high-impact application of decision analysis in a wide variety of corporate contexts (e.g., engineering design, corporate strategy, procurement, program management, etc.). Address: General Motors, Pontiac Centerpoint Campus North, 585 South Boulevard, Pontiac, MI 48341; e-mail: robert.bordley@gm.com , rbordley@umich.edu . Heidi M. Crane (“ Whether to Retest the Lipids of HIV-Infected Patients: How Much Does Fasting Bias Matter? ”) is an assistant professor of medicine at the University of Washington (UW) School of Medicine and the associate director of Clinical Epidemiology and Health Services Research at the UW Center for AIDS Research (CFAR), which promotes research comparing the effectiveness of management strategies for HIV-infected patients in routine clinical practice. She is co–principal investigator (PI) of a PROMIS (Patient-Reported Outcomes Measurement Information Systems) National Institutes of Health Roadmap initiative U01 on measuring patient reported outcomes in clinical care for HIV-infected patients and PI of a National Institute of Mental Health R01 project on measuring and improving adherence for HIV-infected patients in clinical care. She is also medical director of the Madison HIV Metabolic clinic, PI of an American Heart Association grant on myocardial infarction and metabolic complications among patients with HIV, and PI of an Agency for Healthcare Research and Quality grant on comparative effectiveness of antihypertensive and lipid-lowering medication among HIV-infected patients. She provides care and training in the clinical care of HIV-infected individuals, and she also mentors junior investigators in HIV research in the UW Division of Infectious Diseases. Dr. Crane is a member of the Data Management Centers for the National Institute of Allergy and Infectious Diseases–funded CFAR Network of Integrated Clinical Systems (CNICS) research platform of real-time electronic health record data for 22,000 patients from eight CFARs across the United States, and the International Epidemiological Databases to Evaluate AIDS project's North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD), which merges data on 110,000 HIV-infected individuals in care at 60 sites across the United States and Canada. Dr. Crane leads the CNICS Patient Reported Outcomes Committee and the CNICS and NA-ACCORD myocardial infarction event adjudication teams. Dr. Crane's research focuses on methods to improve clinical care for HIV-infected individuals as well as metabolic and other chronic comorbidities of HIV. She received her internal medicine residency training from Barnes and Jewish Hospitals, and her B.A., B.S., M.D., M.P.H. and Infectious Disease Fellowship training from the UW. Address: Harborview Medical Center, 325 9th Avenue, Box 359931, Seattle, WA 98104; e-mail: hcrane@u.washington.edu . Naraphorn Haphuriwat (“ Deterring the Smuggling of Nuclear Weapons in Container Freight Through Detection and Retaliation ”) is a researcher at the National Metal and Materials Technology Center in Thailand. She applies tools including optimization, decision analysis, and process simulation to improve production processes and operations for small and medium enterprises. She earned her Ph.D. from the University of Wisconsin–Madison in the Department of Industrial and Systems Engineering in August 2010. During her doctoral study, she was supported by the Center for Risk and Economic Analysis of Terrorism Events (CREATE) at the University of Southern California, where she conducted game-theoretic studies in the applications of security. She also received an honorable mention in the 2004–2005 University Book Store Academic Excellence Award Competition for a project related to computer security. Address: 114 Thailand Science Park, Paholyothin Road, Klong 1, Klong Luang, Pathumthani 12120, Thailand; e-mail: naraphoh@mtec.or.th . Joseph B. Kadane (“ Whether to Retest the Lipids of HIV-Infected Patients: How Much Does Fasting Bias Matter? ”) is Leonard J. Savage University Professor of Statistics and Social Sciences, Emeritus, at Carnegie Mellon University. His research focus is on both foundational issues of Bayesian analysis and applications in many settings. These currently include physics, phylogenetics, air pollution, Internet security, law, and medicine, as well as Internet auctions. He also serves as an expert witness in legal matters. Address: Tepper School of Business, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213; e-mail: kadane@andrew.cmu.edu . L. Robin Keller (“ From the Editors: Deterrence, Multiattribute Utility, and Probability and Bayes' Updating ”) is a professor of operations and decision technologies in the Merage School of Business at the University of California, Irvine. She received her Ph.D. and M.B.A. in management science and her B.A. in mathematics from the University of California, Los Angeles. She has served as a program director for the Decision, Risk, and Management Science Program of the U.S. National Science Foundation (NSF). Her research is on decision analysis and risk analysis for business and policy decisions and has been funded by NSF and the U.S. Environmental Protection Agency. Her research interests cover multiple-attribute decision making, riskiness, fairness, probability judgments, ambiguity of probabilities or outcomes, risk analysis (for terrorism, environmental, health, and safety risks), time preferences, problem structuring, cross-cultural decisions, and medical decision making.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.830
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.013
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.213
GPT teacher head0.410
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it